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Integrations in Avigrah are system connectors that enable AI agents and pipelines to interact with external platforms. They are used for:
  • Ingesting data into pipelines
  • Executing actions through AI agents

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Role in the System

Integrations operate in two primary ways:

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1. Data Source Layer (Pipelines)

Integrations act as input sources for data pipelines.
  • Fetch structured data from external systems
  • Support batch (API) and real-time (webhook) ingestion
  • Feed data into lakehouse and vector systems
This enables pipelines to process real business data.

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2. Execution Layer (Agents)

Integrations are directly used by AI agents to perform actions. Agents can:
  • Create and manage campaigns
  • Add or update users
  • Trigger workflows in external systems
  • Execute platform-specific operations
This moves AI from analysis to action execution.

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Integration Model

Each integration represents a provider-specific service connector. Examples include:
  • CRM systems
  • Marketing platforms
  • Advertising platforms
  • Commerce systems
  • Communication tools
Each connector exposes:
  • Structured data access
  • Actionable endpoints
  • Platform-specific capabilities

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System Flow

Integrations participate in both data and execution flows: Integration → Pipeline → Storage → AI → Integration Action
  • Data is pulled into pipelines
  • Processed and structured
  • Used by AI agents for reasoning
  • Agents trigger actions back through integrations

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Project Scope

  • Integrations are configured at the organization level
  • Assigned to specific projects
  • Accessible only within project scope
This ensures controlled and secure usage.

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Execution Behavior

When used by agents:
  • Requests are routed through integration services
  • Actions are executed on external platforms
  • Responses are returned to the system
All interactions are governed by permissions and project scope.

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Positioning

Integrations are not passive connectors. They are active system components that enable:
  • Data ingestion
  • External system interaction
  • AI-driven execution
They allow Avigrah to function as an actionable AI system, not just an analytical layer.

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Supported Integrations

Shopify

Manage store data, orders, and customers while enabling AI-driven commerce actions.

WooCommerce

Handle products, orders, and customer data for AI-powered commerce operations.

Salesforce

Work with leads, accounts, and pipelines while enabling AI-driven sales actions.

Zoho CRM

Access CRM records, manage leads, and trigger sales-related workflows.

Klaviyo

Manage campaigns, segments, and customer engagement through AI workflows.

Mailchimp

Create campaigns, manage audiences, and automate email marketing actions.

Meta Ads

Analyze and manage ad campaigns, audiences, and performance data

Google Ads

Monitor campaigns, optimize ads, and work with performance data
Some integrations may have limited functionality during testing or may be available only for enterprise clients; please contact support for access and details.